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institutions. Predictive models with quantified uncertainty will be developed and validated, together with probabilistic consequence models to support risk-based decision-making. A structural optimisation
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering
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development of statistical and probabilistic methods for the analysis of complex data and systems. Research topics include distributional modelling, stochastic dependence, extreme-value phenomena
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framework for classifying user activity in office buildings using power consumption data, with a focus on probabilistic approaches such as Gaussian Processes that provide principled uncertainty
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, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/mobile-robotics ) and Intelligent
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, the School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | 14 days ago
develop a probabilistic, risk-consistent design basis for protection structures: a framework in which the safety level is explicit, quantified and consistent across hazards, structures and decisions. You
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Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0293.pdf CALL FOR GRANT APPLICATIONS (AE2026-0293) INESC TEC is now accepting grant applications to award 1
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special and temporal resolutions and will likely reveal previously unobservable phenomena in the physical world. This project will investigate novel probabilistic methods for extracting knowledge from
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prediction of their operating conditions and optimal maintenance. Specifically, the activity will address the study and development of methodologies of system analysis, physical, logical, probabilistic